Abstract
The increasing sophistication of cyberattacks necessitates innovative approaches to cybersecurity. Behavioral biometrics, which leverage unique patterns in human behavior such as keystroke dynamics, mouse movements, and touchscreen interactions, have emerged as a promising solution for enhancing security frameworks. This study explores the efficacy of behavioral biometrics in detecting and mitigating cyber threats. By analyzing real-world applications and experimental data, the research highlights the strengths of behavioral biometrics in providing continuous authentication, reducing reliance on traditional static credentials, and improving threat detection accuracy. Challenges, including data privacy concerns, system integration, and adaptability to user behavior changes, are also discussed. The findings underscore the potential of behavioral biometrics as a vital component of next-generation cybersecurity systems, paving the way for more robust and user-friendly digital security solutions.
Published Version
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